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» A Framework for Multiple-Instance Learning
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ENGL
2007
89views more  ENGL 2007»
13 years 10 months ago
Similarity-based Heterogeneous Neural Networks
This research introduces a general class of functions serving as generalized neuron models to be used in artificial neural networks. They are cast in the common framework of comp...
Lluís A. Belanche Muñoz, Julio Jose ...
JSAC
2006
120views more  JSAC 2006»
13 years 10 months ago
A Tutorial on Cross-Layer Optimization in Wireless Networks
This tutorial paper overviews recent developments in optimization-based approaches for resource allocation problems in wireless systems. We begin by overviewing important results i...
Xiaojun Lin, Ness B. Shroff, R. Srikant
PAMI
2008
119views more  PAMI 2008»
13 years 10 months ago
Triplet Markov Fields for the Classification of Complex Structure Data
We address the issue of classifying complex data. We focus on three main sources of complexity, namely, the high dimensionality of the observed data, the dependencies between these...
Juliette Blanchet, Florence Forbes
PAMI
2006
243views more  PAMI 2006»
13 years 10 months ago
Dynamical Statistical Shape Priors for Level Set-Based Tracking
In recent years, researchers have proposed to introduce statistical shape knowledge into level set based segmentation methods in order to cope with insufficient low-level informati...
Daniel Cremers
PAMI
2006
185views more  PAMI 2006»
13 years 10 months ago
Generic Object Recognition with Boosting
This paper explores the power and the limitations of weakly supervised categorization. We present a complete framework that starts with the extraction of various local regions of e...
Andreas Opelt, Axel Pinz, Michael Fussenegger, Pet...